Conversations are undoubtedly the largest dataset in the world. However, the data and context that drives today's AI revolution are often relegated to something already documented or structured. On the other hand, the conversation data is simply floating in the ether. But every strategy meeting, sales calls, customer complaints, brainstorming sessions, doctor consultations, coffee chats hold something invaluable – that is, context.
Agents and applications require context
Conversation and meeting data provides an important context for charging your AI agents and apps. input Recall.ai – An infrastructure that makes it easier to capture and utilize this data at scale and at real time. The ability to gain insights from conversational data enables the emergence of new markets and products. This burgeoning ecosystem includes many of the portfolio companies, including Abridge, Rilla and Avantos. Recall.ai is at the root of this trend. That's why we're proud to lead the company's $38 million Series B round.
In all modern organizations, meetings are shared with important contexts, customer knowledge is exchanged, and decisions are made. Previously, intelligently accessing and scaling floods of meeting data via platforms, formats and workflows has been a challenge. Recall.ai solves this by providing a single, robust solution that abstracts complexity.
One API, all platforms
Recall.ai provides a unified API and developer platform for conversation intelligence. Shoot and distill bots, capture, audio and metadata across the platform, including Zoom, Microsoft Teams, Google Meet, WebEx, Slack, Desktop, and more. Recall.ai handles everything from unlimited simultaneous virtual machine infrastructure to real-time transcripts, audio and video streams, and granular metadata such as speaker identification and screen sharing.
With billions of minutes of processing each year as the infrastructure behind thousands of conversation intelligence products, Recall.AI is growing rapidly across developers and enterprises. Leaders and innovators such as Hubspot, Datadog, Calendly, Instacart, Charlie Health, Rippling, and Clickup all rely on recall.ai. The company grew 12 times in 2023 and tripled in 2024, and is on track with a record launch in 2025. Desktop Record SDK, Calendar integrationand Storage and playbackwith Mobile SDK It will soon be available in beta and other major releases.
Rather than focusing on building custom infrastructure or continuing personnel maintenance, customers will be up and running within hours. Teams save over 500 developer time by offloading Meeting Data Management and offloading Recall.ai. This allows businesses to ship quickly and free up valuable development resources.
Why support your team behind Recall.ai
The idea for Recall.ai comes from the issue of co-founders David Gu (CEO) and Amanda Zhu (COO) first-hand experiences while building their previous company, a real-time transcription tool for video conferencing. They found that a large portion of the engineering team's resources are consumed by building, scaling and maintaining integration with the platform.
Recognizing that this infrastructure challenge is bothering others, David and Amanda launched Recall.ai in 2022. Small but powerful teams solve complex technical challenges and provide customers and developers with a robust, fun, reliable infrastructure. The team is also growing. Check out the opportunity at recall.ai here.
This All-Star team is excited to support this All-Star team to enable an increase in the ecosystem of innovative applications. If you're building an application or agent that's charging to context and needs to access, analyze, or act on conversational data, try it Reminiscence.ai.
